This is a companion software for the submission: "Higher-Order Total Directional Variation: Imaging Applications" by Simone Parisotto , Jan Lellmann, Simon Masnou, and Carola-Bibiane Schönlieb. SIAM J. Imaging Sci., 13(4), 2063–2104. (42 pages)
This is the companion software for the paper "Total Directional Variation for video denoising".
JuniorQuant breaks the dependency on heavy-compute data centers. Industry-standard NVIDIA Ising models demand a 700W+ power envelope per node, JuniorQuant stabilizes the same manifolds within a 45W peak limit. An Adaptive Tensor Modulation Loop (ATML); replacing floating-point matrix multiplications with multiplier-free b1.58, a 20x eff. yield
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